Python cntk.exp() Examples
The following are 22
code examples of cntk.exp().
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Example #1
| Source File: cntk_backend.py From DeepLearning_Wavelet-LSTM with MIT License | 5 votes |
|
def logsumexp(x, axis=None, keepdims=False):
return log(sum(exp(x), axis=axis, keepdims=keepdims))
Example #2
| Source File: cntk_backend.py From keras-lambda with MIT License | 5 votes |
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def exp(x):
return C.exp(x)
Example #3
| Source File: cntk_backend.py From keras-lambda with MIT License | 5 votes |
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def logsumexp(x, axis=None, keepdims=False):
return log(sum(exp(x), axis=axis, keepdims=keepdims))
Example #4
| Source File: cntk_backend.py From deepQuest with BSD 3-Clause "New" or "Revised" License | 5 votes |
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def exp(x):
return C.exp(x)
Example #5
| Source File: cntk_backend.py From deepQuest with BSD 3-Clause "New" or "Revised" License | 5 votes |
|
def logsumexp(x, axis=None, keepdims=False):
return log(sum(exp(x), axis=axis, keepdims=keepdims))
Example #6
| Source File: cntk_backend.py From DeepLearning_Wavelet-LSTM with MIT License | 5 votes |
|
def exp(x):
return C.exp(x)
Example #7
| Source File: cntk_backend.py From DeepLearning_Wavelet-LSTM with MIT License | 5 votes |
|
def logsumexp(x, axis=None, keepdims=False):
return log(sum(exp(x), axis=axis, keepdims=keepdims))
Example #8
| Source File: cntk_backend.py From DeepLearning_Wavelet-LSTM with MIT License | 5 votes |
|
def exp(x):
return C.exp(x)
Example #9
| Source File: cntk_backend.py From DeepLearning_Wavelet-LSTM with MIT License | 5 votes |
|
def logsumexp(x, axis=None, keepdims=False):
return log(sum(exp(x), axis=axis, keepdims=keepdims))
Example #10
| Source File: cntk_backend.py From DeepLearning_Wavelet-LSTM with MIT License | 5 votes |
|
def logsumexp(x, axis=None, keepdims=False):
return log(sum(exp(x), axis=axis, keepdims=keepdims))
Example #11
| Source File: cntk_backend.py From DeepLearning_Wavelet-LSTM with MIT License | 5 votes |
|
def exp(x):
return C.exp(x)
Example #12
| Source File: test_ops_unary.py From ngraph-python with Apache License 2.0 | 5 votes |
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def test_sigmoid():
assert_cntk_ngraph_isclose(C.sigmoid([-2, -1., 0., 1., 2.]))
assert_cntk_ngraph_isclose(C.sigmoid([0.]))
assert_cntk_ngraph_isclose(C.exp([-0.9, -0.8, -0.7, -0.6, -0.5, -0.4, -0.3, -0.2, -0.1, 0.]))
Example #13
| Source File: cntk_backend.py From DeepLearning_Wavelet-LSTM with MIT License | 5 votes |
|
def exp(x):
return C.exp(x)
Example #14
| Source File: cntk_backend.py From DeepLearning_Wavelet-LSTM with MIT License | 5 votes |
|
def logsumexp(x, axis=None, keepdims=False):
return log(sum(exp(x), axis=axis, keepdims=keepdims))
Example #15
| Source File: cntk_backend.py From DeepLearning_Wavelet-LSTM with MIT License | 5 votes |
|
def logsumexp(x, axis=None, keepdims=False):
return log(sum(exp(x), axis=axis, keepdims=keepdims))
Example #16
| Source File: cntk_backend.py From DeepLearning_Wavelet-LSTM with MIT License | 5 votes |
|
def exp(x):
return C.exp(x)
Example #17
| Source File: cntk_backend.py From DeepLearning_Wavelet-LSTM with MIT License | 5 votes |
|
def logsumexp(x, axis=None, keepdims=False):
return log(sum(exp(x), axis=axis, keepdims=keepdims))
Example #18
| Source File: cntk_backend.py From DeepLearning_Wavelet-LSTM with MIT License | 5 votes |
|
def exp(x):
return C.exp(x)
Example #19
| Source File: cntk_backend.py From DeepLearning_Wavelet-LSTM with MIT License | 5 votes |
|
def logsumexp(x, axis=None, keepdims=False):
return log(sum(exp(x), axis=axis, keepdims=keepdims))
Example #20
| Source File: cntk_backend.py From GraphicDesignPatternByPython with MIT License | 5 votes |
|
def exp(x):
return C.exp(x)
Example #21
| Source File: cntk_backend.py From GraphicDesignPatternByPython with MIT License | 5 votes |
|
def logsumexp(x, axis=None, keepdims=False):
return log(sum(exp(x), axis=axis, keepdims=keepdims))
Example #22
| Source File: test_ops_unary.py From ngraph-python with Apache License 2.0 | 5 votes |
|
def test_exp():
assert_cntk_ngraph_isclose(C.exp([-2, -1., 0., 1., 2.]))
assert_cntk_ngraph_isclose(C.exp([0.]))
assert_cntk_ngraph_isclose(C.exp([-0.9, -0.8, -0.7, -0.6, -0.5, -0.4, -0.3, -0.2, -0.1, 0.]))
